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Merged
merged 16 commits into from
Mar 4, 2020
Merged

contribution guidelines checks #1787

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9d1da35
spelling corrections
matkosoric Mar 3, 2020
b0595af
review
matkosoric Mar 3, 2020
c9f921e
improved documentation, removed redundant variables, added testing
matkosoric Mar 3, 2020
8f0e9f8
added type hint
matkosoric Mar 3, 2020
bde5d29
camel case to snake case
matkosoric Mar 3, 2020
cbac920
spelling fix
matkosoric Mar 3, 2020
2974720
review
matkosoric Mar 3, 2020
82ffd1e
python --> Python # it is a brand name, not a snake
matkosoric Mar 3, 2020
5e8e686
explicit cast to int
matkosoric Mar 3, 2020
1562b40
spaces in int list
matkosoric Mar 4, 2020
4961b7c
"!= None" to "is not None"
matkosoric Mar 4, 2020
3722729
Update comb_sort.py
poyea Mar 4, 2020
1c37060
various spelling corrections in documentation & several variables nam…
matkosoric Mar 4, 2020
005df2c
Merge remote-tracking branch 'origin/master'
matkosoric Mar 4, 2020
8866831
+ char in file name
matkosoric Mar 4, 2020
3e84039
import dependency - bug fix
matkosoric Mar 4, 2020
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10 changes: 5 additions & 5 deletions machine_learning/linear_regression.py
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@@ -1,10 +1,10 @@
"""
Linear regression is the most basic type of regression commonly used for
predictive analysis. The idea is pretty simple, we have a dataset and we have
a feature's associated with it. The Features should be choose very cautiously
as they determine, how much our model will be able to make future predictions.
We try to set these Feature weights, over many iterations, so that they best
fits our dataset. In this particular code, i had used a CSGO dataset (ADR vs
predictive analysis. The idea is pretty simple: we have a dataset and we have
features associated with it. Features should be chosen very cautiously
as they determine how much our model will be able to make future predictions.
We try to set these features weights, over many iterations, so that they best
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We try to set the weight of these features...

fit our dataset. In this particular code, I had used a CSGO dataset (ADR vs
Rating). We try to best fit a line through dataset and estimate the parameters.
"""
import requests
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